iPhone 15 Pro Max
Geekbench AI Score
3799
Single Precision Score
26787
Half Precision Score
35939
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | OliJWalker |
| Upload Date | January 06 2026 03:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1517
282.2 IPS |
|
|
Image Classification (HP)
|
100% |
11281
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
14626
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16464
266.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21832
353.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7341
8.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
107463
125.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
205214
240.5 IPS |
|
|
Object Detection (SP)
|
100% |
1664
132.0 IPS |
|
|
Object Detection (HP)
|
100% |
13861
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17878
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3074
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
34366
408.3 IPS |
|
|
Face Detection (Q)
|
100% |
46769
555.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7002
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78590
605.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
124191
971.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21629
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
208851
268.5 IPS |
|
|
Style Transfer (Q)
|
96% |
248002
320.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4783
176.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34599
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55777
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5409
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5434
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3102
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6515
112.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7029
121.5 IPS |
